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事前视角下公众对自然灾难的负面情绪感知影响因素研究

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本文基于大规模网络问卷调查,获取2408份事前视角下公众的自然灾难负面情绪感知问卷,使用机器学习算法对数据进行建模和调优,利用SHAP、累积局部效应图等方法进行数据可视化分析,并结合现实层面意义对结果进行解释。研究显示:(1)"自然灾难事后失联""自然灾难事后救援不力"和"自然灾难事后支持不足"最让公众关注。(2)工作年限、年龄、职业和教育背景是事前视角下自然灾难负面情绪感知的重要人文影响因素。(3)职业压力与事前视角下公众的自然灾难负面情绪感知存在正相关。(4)未成年人、无业人员、职场新人、留守儿童、寡居老人和拥有较高工作压力的人群是自然灾难负面情绪感知的脆弱人群。(5)公众对"所在城市受灾的风险"、"所在国家受灾的风险"、"自然灾难事后支持不足"、"自然灾难事前防范不足"和"自然灾难事后失联"的关注度增加会显著加剧其自然灾难负面情绪感知。在研究基础上,提出降低公众的自然灾难负面情绪感知的建议及自然灾难负面情绪感知脆弱人群的情绪疏导策略。
Research on influencing factors of public negative emotion perception of natural disasters from an ex-ante perspective
Based on a large-scale online questionnaire survey,a total of 2408 questionnaires on the public's negative emotion perception of natural disasters were obtained from an ex-ante perspective,and machine learning algorithm was used to model and tune the data.Then,the data visualization analysis was performed using SHAP and Accumulated Local Effects Plot,and the results were interpreted in combination with the practical significance.The results showed that:(1)"lost contact after natural disasters","poor rescue after natural disasters"and"insufficient support after natural disasters"are the most concerned by the public.(2)Years of working,age,occupation and educational background are the important humanistic influencing fac-tors of negative emotion perception of natural disasters from an ex-ante perspective.(3)occupational stress is positively correlated with the public's negative emotion perception of natural disasters from an ex-ante perspec-tive.(4)Minors,unemployed people,workplace newbie,left-behind children,widowed elderly and people with high occupational stress are vulnerable to the negative emotion perception of natural disasters.(5)The increased attention of the public to"disaster risk in the city","disaster risk in the country","insufficient sup-port after natural disasters","insufficient prevention before natural disasters"and"lost contact after natural di-sasters"will significantly aggravate their negative emotion perception of natural disasters.Based on the re-search,suggestions were proposed to reduce the public negative emotion perception of natural disaster under normal conditions.At the same time,the emotional channeling strategies of natural disaster was proposed.

Natural disasterEmotional perceptionMachine learningVisual analysis

李宗敏、段铁、汤万杰、黄利娜

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四川大学商学院, 成都 610065

四川大学心理健康教育中心, 成都 610041

自然灾难 情绪感知 机器学习 可视化分析

国家社会科学基金重大项目国家自然科学基金面上项目

22&ZD14272174134

2024

四川大学学报(自然科学版)
四川大学

四川大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.358
ISSN:0490-6756
年,卷(期):2024.61(2)
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